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ISSN 打印: 1065-5131

ISSN 在线: 1563-5074

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 2.3 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.8 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00037 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.6 SJR: 0.433 SNIP: 0.593 CiteScore™:: 4.3 H-Index: 35

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EXPERIMENTAL INVESTIGATION OF HEAT TRANSFER, FRICTION FACTOR, AND OPTIMAL FIN GEOMETRIES FOR THE INTERNALLY MICROFIN TUBES IN THE TRANSITION AND TURBULENT REGIONS

卷 19, 册 5, 2012, pp. 457-476
DOI: 10.1615/JEnhHeatTransf.2012005995
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摘要

For internally microfin tubes, most of the heat transfer and friction factor studies were focused on the turbulent region. However, there is a lack of information about the heat transfer and friction factor behavior of microfin tubes in the entire flow regime that covers laminar, transition, and turbulent regions. Furthermore, the effects of fin geometries and inlet configurations on microfin tube heat transfer and friction factor were seldom discussed. Therefore, an experimental study for friction factor and heat transfer on three microfin tubes with different inlet configurations (squared-edge and re-entrant) was conducted and the measured data were compared with the data of a plain tube. From the friction factor and heat transfer results, the transition from laminar to turbulent was clearly established and shown to be inlet- and spiral-angle dependent. For all the microfin tubes with two inlet types, it was observed that the efficiency index was larger than 1 when the Reynolds number was larger than 5000. The current microfin tubes data were also compared with the existing heat transfer and friction factor correlations in the turbulent region. Finally, the genetic algorithms and the algorithms of changes were applied to the existing turbulent correlations to find the optimal fin geometry. The efficiency index computed by both numerical methods outperformed the index computed by the fin geometries used in the past studies. This proved that both algorithms were capable of finding the optimal fin geometry of the microfin tubes

对本文的引用
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